Evidence map›Paper›PMID 42225736›Full record

ArticleScientific reports2026

Ground-station and ERA5-Land evaluation for heat-induced labour loss assessment across developed-economy regions in Pacific Asia.

Po-Yen Lai, Wee Shing Koh

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Po-Yen LaiInstitute of High Performance Computing (IHPC), Agency for Science Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Republic of Singapore. lai_po-yen@a-star.edu.sg.
Wee Shing KohInstitute of High Performance Computing (IHPC), Agency for Science Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Republic of Singapore.

Funding

National Research Foundation, Singapore AISG3-TC-2024-014-SGKR
6 · The paper itself

Abstract

Global warming is increasing extreme heat events, directly impacting labour health and economic productivity. High-resolution global reanalysis datasets, such as ERA5-Land, are enabling worldwide and regional assessments of heat-related labour impacts. This study systematically examines the reliability and bias of ERA5-Land-derived labour loss estimates across diverse Köppen-Geiger climate zones (A, C, D) and land cover types (urban and natural land cover) at 37 sites (including 36 WMO stations) in advanced-economy regions of Pacific Asia (Japan, Korea, Taiwan, and Singapore) from 2014 to 2023. Using the physics-based Liljegren wet-bulb globe temperature (WBGT) model and established exposure-response functions, we quantified annual cumulative labour loss and productivity loss while accounting for spatial labour distribution. A comparison of WBGT‑derived labour‑loss estimates from 37 ground‑station datasets with ERA5‑Land-driven estimates indicates strong concordance in temperate zones (R

Indexed as

ERA5-Land reanalysisLabour productivity lossOutdoor thermal comfortWet-bulb globe temperature (WBGT)

Identifiers

PMID42225736
PMCPMC13458054

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.